Interviews with 18 older adults show that AI safety interventions frequently disrupt emotional support-seeking, leading to calls for designs that respect users' pacing and preserve agency.
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DAISY is a structured form tool that generates more complete AI disclosure statements for research papers without reducing author comfort levels.
LLM-generated code matches human-written code in overall readability but exhibits different issue patterns, and prompt engineering has limited impact on improving it.
Brazilian software engineers perceive continuous technical updating combined with practical application as the most useful learning, with formal education, networking, and soft skills serving as valued complements rather than alternatives.
citing papers explorer
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Designing with Tensions: Older Adults' Emotional Support-Seeking Under System-Level Constraints in Conversational AI
Interviews with 18 older adults show that AI safety interventions frequently disrupt emotional support-seeking, leading to calls for designs that respect users' pacing and preserve agency.
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AI Disclosure with DAISY
DAISY is a structured form tool that generates more complete AI disclosure statements for research papers without reducing author comfort levels.
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The Readability Spectrum: Patterns, Issues, and Prompt Effects in LLM-Generated Code
LLM-generated code matches human-written code in overall readability but exhibits different issue patterns, and prompt engineering has limited impact on improving it.
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Corporate Training in Brazilian Software Engineering: A Qualitative Study of Useful Learning Experiences
Brazilian software engineers perceive continuous technical updating combined with practical application as the most useful learning, with formal education, networking, and soft skills serving as valued complements rather than alternatives.